Introductory Probability and Statistics Applications for Forestry and Natural Sciences

Name: Introductory Probability and Statistics Applications for Forestry and Natural Sciences
Price: 3.0 USD
Availability: InStock
ISBN: 9781780640518

ISBN-10: 178064051X

ISBN-13: 9781780640518

Edition: 2012

Authors: Antal Kozak, Robert A. Kozak, Susan B. Watts, Christina L. Staudhammer

List price: $35.00

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Description:

With interest growing in areas of forestry, conservation and other natural sciences, the need to organize and tabulate large amounts of forestry and natural science information has become a necessary skill. Previous attempts of applying statistical methods to these areas tend to be over-specialized and of limited use; an elementary text using methods, examples and exercises that are relevant to forestry and the natural sciences is long overdue. This book utilises basic descriptive statistics and probability, as well as commonly used statistical inferential tools to introduce topics that are commonplace in a forestry context such as hypothesis texting, design of experiments, sampling…

Book details

List price: $35.00
Copyright year: 2012
Publisher: CABI
Publication date: 4/2/2012
Binding: Paperback
Pages: 448
Size: 7.25" wide x 9.25" long x 0.75" tall
Weight: 2.090
Language: English

Antal Kozak is at The University of British Columbia, Canada.




STATISTICS AND DATA: What do Numbers have to do with Trees?



DESCRIPTIVE STATISTICS: Making Sense of Data



PROBABILITY: The Foundation of Statistics



RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS: Outcomes of Random Experiments



SOME DISCRETE PROBABILITY DISTRIBUTIONS: Describing Data that is Counted



CONTINUOUS DISTRIBUTIONS AND THE NORMAL DISTRIBUTION: Describing Data that is Measured



SAMPLING DISTRIBUTIONS: The Foundation of Inference



ESTIMATION: Determining the Value of Population Parameters



TESTS OF HYPOTHESES: Making Claims about Population Parameters



GOODNESS-OF-FIT AND TEST FOR INDEPENDENCE: Testing Distributions



REGRESSION AND CORRELATION: Relationships between Variables



ANALYSIS OF VARIANCE: Testing Differences between Several Means



SAMPLING METHODS AND DESIGN OF EXPERIMENTS: Collecting Data



NONPARAMETRIC TESTS: Testing when Distributions are Unknown



QUALITY CONTROL: Statistics for Production and Processing